FSCC: Few-Shot Learning for Macromolecule Classification Based on Contrastive Learning and Distribution Calibration in Cryo-Electron Tomography

FSCC: Few-Shot Learning for Macromolecule Classification Based on Contrastive Learning and Distribution Calibration in Cryo-Electron Tomography

Cryo-electron tomography (Cryo-ET) is an emerging technology for three-dimensional (3D) visualization of macromolecular structures in the near-native state. To recover structures of macromolecules, millions of diverse macromolecules captured in tomograms should be accurately classified into structur...

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Bibliographic Details
Main Authors: Shan Gao, Xiangrui Zeng, Min Xu, Fa Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Molecular Biosciences
Subjects:
few-shot learning
cryo-ET
macromolecule classification
contrastive learning
distribution calibration
Online Access:https://www.frontiersin.org/articles/10.3389/fmolb.2022.931949/full

Internet

https://www.frontiersin.org/articles/10.3389/fmolb.2022.931949/full

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